Kensuke Harada

Professor

Osaka University

Japan

Research Interests

Explore related searches

Professors in Japan Professors in Robotics Robotics professors in Japan

Contact this professor

ORCID

Google Scholar

About

Dr. Kensuke Harada is a Professor at Osaka University in Japan. His research areas encompass robotic manipulation, including bimanual grasp planning, tactile sensing, and object recognition. Notable recent articles include studies on image-based tactile simulation and the development of compact tactile sensors. He is dedicated to advancing the field of robotics with innovative approaches to object grasping and manipulation.

Kensuke Harada

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Image-Based Tactile Deformation Simulation and Pose Estimation for Robot Skill Learning

Bimanual Regrasp Planning and Control for Active Reduction of Object Pose Uncertainty

Functional Eigen-Grasping Using Approach Heatmaps

A Multilevel Similarity Approach for Single-View Object Grasping: Matching, Planning, and Fine-Tuning

Development of a Compact Tactile Sensor Using a Pinhole RGB Camera

Robotic Paper Wrapping by Learning Force Control

Zero-Shot Recognition of Test Tube Types by Automatically Collecting and Labeling RGB Data

Component Selection for Craft Assembly Tasks

Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis

TAMP for 3D Curving—A Low-Payload Robot Arm Works Aside a Bending Machine to Curve High-Stiffness Metal Wires

Shelf Replenishment Based on Object Arrangement Detection and Collapse Prediction for Bimanual Manipulation

Graph-Based Framework on Bimanual Manipulation Planning from Cooking Recipe

A Mechanical Screwing Tool for Parallel Grippers - Design, Optimization, and Manipulation Policies

An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks

Arranging test tubes in racks using combined task and motion planning

Category-Association Based Similarity Matching for Novel Object Pick-and-Place Task

Manipulation Planning for Large Objects through Pivoting, Tumbling, and Regrasping

A Dual-Arm Robot That Autonomously Lifts Up and Tumbles Heavy Plates Using Crane Pulley Blocks

Controlling Pivoting Gait Using Graph Model Predictive Control

Emerging Paradigms for Robotic Manipulation: From the Lab to the Productive World [From the Guest Editors]

Collaborators (4)

Takao Nishi

Takuya Kiyokawa

Kazuyuki Nagata

Weiwei Wan

How do I reach out?

Meet Kite AI